Mofeyifoluwa A.

Key Skills

Software

Other

Top Subject Matter

Education/learning Domain Expertise

general knowledge

and LLM RLHF evaluation

Top Data Types

Text

Document

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Freelancer Overview

Since February 2026, I have been working as a Freelance AI Trainer on Outlier.ai, contributing to LLM training through prompt writing and RLHF-based response evaluation across general knowledge and education/learning domains. I evaluate AI outputs for accuracy, reasoning quality, coherence, and instruction alignment — with particular attention to subtle failures like hallucinations and logical inconsistencies. What sets me apart is the professional foundation behind that work. Ten years in instructional design gives me a precise understanding of how people construct meaning and apply knowledge — which directly sharpens how I write prompts and assess responses. A Computer Science degree adds technical grounding, and domain expertise in financial services deepens the quality and nuance of my annotations.

Labeling Experience

Freelance AI Trainer | Outlier.ai, Remote (Prompt Engineering & RLHF Evaluation)

OtherTextRLHF

Freelance AI Trainer at Outlier.ai supporting LLM training via human feedback evaluation. The role focuses on assessing AI-generated answers for correctness, reasoning quality, tone, coherence, and task alignment. It also includes identifying and annotating model failure modes to provide improvement signals for subsequent training. • Prompt + response writing for instruction and education/learning domains • RLHF response ranking and rating with feedback • Annotation of hallucinations, logical inconsistencies, ambiguity, and instruction-following failures • Evaluation against task intent using structured quality criteria

2026 - Present

Head of Academy | FMDQ Group (AI-adjacent prompt/evaluation-focused learning design)

OtherTextPrompt + Response Writing (SFT)

Head of Academy delivering professional learning programmes while applying prompt writing and evaluation practices. The work included translating complex regulatory and business requirements into precise, outcome-driven learning content. It also emphasized competency-based curricula and learning metrics using a data-informed evaluation mindset. • Co-developing technically rigorous content with subject matter experts • Designing structured learning pathways using adult learning and behavioral science • Tracking programme effectiveness using learning metrics and participant feedback • Applying instructional clarity principles relevant to prompt construction

2023 - Present

Education

Work History